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Cloud-Native Monitoring Application using Python, Plotly, Flask, Docker, K8S and AWS.

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Monitoring-K8S-DevOps

This project is a Flask-based web application that monitors system usage and displays it in a user-friendly interface using Plotly. The application can be built using Docker and deployed on Kubernetes, and it can be hosted on the cloud, specifically on AWS (Amazon Web Services).

Introduction

Monitoring system usage is crucial for maintaining the performance and stability of applications running on a server. This project provides a Flask web application that collects system metrics, such as CPU usage, memory usage, and disk usage, and presents them in a visually appealing and intuitive dashboard. By leveraging Docker and Kubernetes, you can easily deploy and scale this application to meet your needs. Additionally, hosting the application on AWS allows for reliable and scalable infrastructure.

2023-07-16_10-35_1

Features

  • Flask: A lightweight and extensible web framework for building the application backend.
  • Docker: Containerization technology that simplifies application deployment and eliminates environment inconsistencies.
  • Kubernetes: An open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
  • AWS: A cloud computing platform that provides a broad set of services for hosting and managing applications.
  • System Monitoring: Collects and displays system metrics, including CPU usage, memory usage, and disk space.

Prerequisites

Before you begin, ensure you have the following prerequisites:

  • Docker installed on your local machine.
  • A Kubernetes cluster set up or access to a managed Kubernetes service.
  • An AWS account with the necessary credentials and permissions.

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